Get up and running quickly with Open edX services.

Documentation is on Read the Docs. Code repository is on GitHub.

This project replaces the older Vagrant-based devstack with a multi-container approach driven by Docker Compose.

A Devstack installation includes the following Open edX components by default:

• The Learning Management System (LMS)
• Open Response Assessments (ORA2), among other LMS plug-ins.
• Open edX Studio
• Discussion Forums
• E-Commerce
• Credentials
• Notes
• Course Discovery
• Open edX Search
• A demonstration Open edX course
• The Publisher and Gradebook micro-frontends

It also includes the following extra components:

• XQueue
• The Learning micro-frontend (A.K.A the new Courseware experience)
• The Program Console micro-frontend
• The Library Authoring micro-frontend
• edX Registrar service.
• The course-authoring micro-frontend

• Where to Find Help
• Notices
• Prerequisites
• Roadmap
• Getting Started
• Usernames and Passwords
• Service List
• Known Issues
• Advanced Configuration Options

There are a number of places to get help, including mailing lists and real-time chat. Please choose an appropriate venue for your question. This helps ensure that you get good prompt advice, and keeps discussion focused. For details of your options, see the Community pages.

• See the most common development workflow (after you've finished Getting Started).
• See the Devstack Interface
• See some helpful troubleshooting tips.
• See the Frequently Asked Questions.
• Or learn about testing and debugging your code in devstack.

You can also browse all the documentation in Read the Docs.

NOTE: LMS is now using MySql 5.7 by default. You have to run make dev.pull.lms and make dev.provision.lms (more details in Getting Started) to fetch latest images and reprovision local copies of databases in order for an existing devstack setup to keep working.

You will need to have the following installed:

• make
• Python 3
• Docker

This project requires Docker 17.06+ CE. We recommend Docker Stable, but Docker Edge should work as well.

NOTE: Switching between Docker Stable and Docker Edge will remove all images and settings. Don't forget to restore your memory setting and be prepared to provision.

For macOS users, please use Docker for Mac. Previous Mac-based tools (e.g. boot2docker) are not supported.

Since a Docker-based devstack runs many containers, you should configure Docker with a sufficient amount of resources. We find that configuring Docker for Mac with a minimum of 2 CPUs, 8GB of memory, and a disk image size of 96GB does work.

Docker for Windows may work but has not been tested and is not supported.

If you are using Linux, use the overlay2 storage driver, kernel version 4.0+ and not overlay. To check which storage driver your docker-daemon uses, run the following command.

docker info | grep -i 'storage driver'

You should run all make commands described below on your local machinge, not from within a Virtual Machine, as these commands are meant to stand up a VM-like environment using Docker containers.

However, you may want to run the make commands from within a Python 3 virtual environment, as described in Getting Started. This will keep the Python packages required for Devstack separate from the ones installed globally on your system.

This repository is in sustained status. The goal is to deprecate this codebase and move the development environment setup into the repos with the application code.

Documentation for future of devstack can be found at: decentralized devstack

Documentation for first prototype of decentralized devstack can be found at: decentralized devstack workflows

The default devstack services can be run by following the steps below.

1. Install the requirements inside of a Python virtualenv.

   make requirements

   This will install docker-compose and other utilities into your virtualenv.

2. The Docker Compose file mounts a host volume for each service's executing code. The host directory defaults to be a sibling of this directory. For example, if this repo is cloned to ~/workspace/devstack, host volumes will be expected in ~/workspace/course-discovery, ~/workspace/ecommerce, etc. These repos can be cloned with the command below.

   make dev.clone  # or, `make dev.clone.https` if you don't have SSH keys set up.

   You may customize where the local repositories are found by setting the DEVSTACK_WORKSPACE environment variable.

   (macOS only) Share the cloned service directories in Docker, using Docker -> Preferences -> File Sharing in the Docker menu.

3. Pull any changes made to the various images on which the devstack depends.

   make dev.pull

3. Optional: You have an option to use NFS on MacOS which may improve the performance significantly. To set it up ONLY ON MAC, do

   make dev.nfs.setup

4. Run the provision command, if you haven't already, to configure the various services with superusers (for development without the auth service) and tenants (for multi-tenancy).

   NOTE: When running the provision command, databases for ecommerce and edxapp will be dropped and recreated.

   The username and password for the superusers are both edx. You can access the services directly via Django admin at the /admin/ path, or login via single sign-on at /login/.

   Default:

   make dev.provision

   Provision using docker-sync:

   make dev.sync.provision

   Provision using NFS:

   make dev.nfs.provision

   This is expected to take a while, produce a lot of output from a bunch of steps, and finally end with Provisioning complete!

   NOTE: This command will bring up both MySQL 5.6 and 5.7 databases until all services are upgraded to 5.7.

5. Start the services. This command will mount the repositories under the DEVSTACK_WORKSPACE directory.

   NOTE: it may take up to 60 seconds for the LMS to start, even after the make dev.up command outputs done.

   Default:

   make dev.up

   Start using docker-sync:

   make dev.sync.up

   Start using NFS:

   make dev.nfs.up

To stop a service, use make dev.stop.<service>, and to both stop it and remove the container (along with any changes you have made to the filesystem in the container) use make dev.down.<service>.

After the services have started, if you need shell access to one of the services, run make dev.shell.<service>. For example to access the Catalog/Course Discovery Service, you can run:

make dev.shell.discovery

To see logs from containers running in detached mode, you can either use "Kitematic" (available from the "Docker for Mac" menu), or by running the following:

make dev.logs

To view the logs of a specific service container run make dev.logs.<service>. For example, to access the logs for Ecommerce, you can run:

make dev.logs.ecommerce

For information on the supported make commands, you can run:

make help

Now that you're up and running, read about the most common development workflow.

The provisioning script creates a Django superuser for every service.

Email: [email protected]
Username: edx
Password: edx

The LMS also includes demo accounts. The passwords for each of these accounts is edx.

Account	Description
[email protected]	An LMS and Studio user with course creation and editing permissions. This user is a course team member with the Admin role, which gives rights to work with the demonstration course in Studio, the LMS, and Insights.
[email protected]	A student account that you can use to access the LMS for testing verified certificates.
[email protected]	A student account that you can use to access the LMS for testing course auditing.
[email protected]	A student account that you can use to access the LMS for testing honor code certificates.

These are the edX services that Devstack can provision, pull, run, attach to, etc. Each service is accessible at localhost on a specific port. The table below provides links to the homepage, API root, or API docs of each service, as well as links to the repository where each service's code lives.

The services marked as Default are provisioned/pulled/run whenever you run make dev.provision / make dev.pull / make dev.up, respectively.

The extra services are provisioned/pulled/run when specifically requested (e.g., make dev.provision.xqueue / make dev.pull.xqueue / make dev.up.xqueue). Alternatively, you can run these by modifying the DEFAULT_SERVICES option as described in the Advanced Configuration Options section.

Currently, some containers rely on Elasticsearch 7 and some rely on Elasticsearch 1.5. This is because services are in the process of being upgraded to Elasticsearch 7, but not all of them support Elasticsearch 7 yet. As we complete these migrations, we will update the dependencies of these containers.

The file options.mk sets several configuration options to default values. For example DEVSTACK_WORKSPACE (the folder where your Git repos are expected to be) is set to this directory's parent directory by default, and DEFAULT_SERVICES (the list of services that are provisioned and run by default) is set to a fairly long list of services out of the box. For more detail, refer to the comments in the file itself.

If you're feeling brave, you can create an git-ignored overrides file called options.local.mk in the same directory and set your own values. In general, it's good to bring down containers before changing any settings.

The COMPOSE_PROJECT_NAME variable is used to define Docker namespaced volumes and network based on this value, so changing it will give you a separate set of databases. This is handled for you automatically by setting the OPENEDX_RELEASE environment variable in options.mk (e.g. COMPOSE_PROJECT_NAME=devstack-juniper.master. Should you want to manually override this, edit the options.local.mk in the root of this repo and create the file if it does not exist. Change the devstack project name by adding the following line:

# Example: COMPOSE_PROJECT_NAME=secondarydevstack
COMPOSE_PROJECT_NAME=<your-alternate-devstack-name>

As a specific example, if OPENEDX_RELEASE is set in your environment as juniper.master, then COMPOSE_PROJECT_NAME will default to devstack-juniper.master instead of devstack.